Top Tech Jobs & Startup Jobs

Leads vehicle durability, reliability, and road load data acquisition validation programs for vehicle launches. Manages testing plans, instrumentation, data collection, analysis, reporting, risk identification, issue resolution, and target validation. Collaborates with engineering, CAE, testing, manufacturing, and quality teams while ensuring standards compliance. Develops a specialized RLDA team and monitors reliability, warranty, field quality, test-to-field correlation, launch readiness, and team capability KPIs.

Acts as the bridge between business and technology stakeholders for AI Virtual Assistant products. Elicits and documents requirements, creates use cases and system models, manages traceability, supports UAT and SIT, defines business rules, improves processes and UX, and communicates effectively with executives and engineering teams.

Manages, operates, maintains, calibrates, and troubleshoots equipment used for vehicle quality evaluation. Installs electrical devices, sensors, and data acquisition systems on test vehicles, prepares vehicles and equipment for testing, coordinates repairs and upgrades, and maintains technical records to improve equipment reliability.

Leads Body-in-White and closures engineering from concept through production launch. Serves as the technical SME for body structures, doors, hoods, liftgates, sealing, hinges, latches, and strikers. Defines architectures and requirements, leads design reviews and integration with safety, NVH, durability, manufacturing, and design teams, resolves structural and fit-and-finish issues, coordinates suppliers, supports prototypes and launches, benchmarks best practices, and mentors engineers.

Leads external CMF design studios through automotive color, material, and finish development from research and concept creation to production. Guides CMF proposals, specification books, supplier master samples, sustainable material strategies, and visual quality standards. Coordinates engineering, purchasing, suppliers, quality teams, and global stakeholders to meet brand, manufacturing, cost, and program requirements. Uses design software and AI tools for research, trend analysis, visualization, and workflow optimization.

Leads vehicle-level ADAS/ADS testing from strategy and planning through release gates, homologation, and regulatory evidence. Manages a 10–15-person engineering and operations team, budgets, schedules, test procedures, quality investigations, and cross-functional collaboration with software, electrical/electronics, functional safety, legal, and regulatory teams. Oversees compliance with international safety and testing standards while supporting Robotaxi deployment and safety-case development.

Develop and maintain automotive finite element models from CAD data, including geometry cleanup, defeaturing, meshing, morphing, subsystem integration, and quality control. Manage model releases, configurations, connectivity, mass accuracy, and version control while supporting Crash, Durability, NVH, Safety, and Optimization teams. Collaborate with design and engineering groups to resolve modeling issues, improve CAE processes, and develop automation. The role requires strong automotive structures knowledge and experience with major CAE pre-processing, solver, and PLM environments.

Coordinate PMO activities for automotive vehicle development projects, including planning, scheduling, budgeting, milestone tracking, risk management, change control, supply-chain coordination, and executive reporting. Facilitate stage-gate reviews and cross-functional collaboration among engineering, procurement, logistics, quality, manufacturing, and suppliers. Manage Plan-for-every-part activities, monitor delivery risks, and drive project governance and continuous improvement.

Integrates ADAS software from multiple suppliers into vehicle ECUs, performs software validation and ADAS function testing, prepares test vehicles, diagnoses and tracks defects, and develops CAN-based verification tools. The role coordinates with suppliers, design, packaging, calibration, and manufacturing teams to resolve system, mechanical, and assembly issues throughout vehicle development stages.

Design and develop scalable backend services and AI platform capabilities, including microservices, APIs, agent runtimes, model gateways, distributed systems, and real-time communication. Build secure, highly available services using TypeScript, Node.js, databases, message queues, Docker, Kubernetes, and cloud infrastructure. Integrate multiple LLM providers, implement observability and CI/CD, optimize performance, and collaborate with AI, data, product, and platform engineering teams to deliver reliable enterprise systems.